Author : Shrinath Oza and Dr. Sunil Rathod

Most of the Indian roadsin rural and suburban are not ideal for driving due to faded lanes, irregular potholes,inappropriate and unseen road signs, which caused many accidents, lost lives and caused serious damage to vehicles. The most difficult task is to detect obstacles on the highway. The basic concept is to design a system that has the effect of detecting the presence of an obstacle in the track of the vehicles.In the proposed work, the Raspberry Pi Camera module is used for object detection and image acquisition. A thorough study is performed on a test image to test the best algorithm suitable for detecting image boundaries.The system performs preprocessing using the Mean Subtracted Difference Enhancement (MSDE) method and then segmentation is performed. The classification is done by using proposed Advanced Classifier for the detection of objects.The system can classify objects like animals, humans, vehicles, etc. Once the object is detected the system informs the user to slow down the vehicle through a voice message. A sufficient analysis is carried out to consolidate the results obtained.

Keywords: Raspberry Pi, Object detection, Image processing, Segmentation